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Articles 1 - 4 of 4
Full-Text Articles in Neurosurgery
Safe Paralytic Reversal For Neurologic Examinations, Keenan Piper, Md
Safe Paralytic Reversal For Neurologic Examinations, Keenan Piper, Md
Health Equity and Quality Improvement (HEQI) Summit
AIM Statement
Institute a protocol for safe administration of sugammadex to obtain neurologic exams with a goal of 90% adherence and three or less agitation-related complications over a 6-month period
Analysis Of Antibody Drug Conjugate On Cellular Senescent Human Glioblastoma, Ariel P. Walker, Renee Hirte, Cecile Riviere-Cazaux, Authur Warrington, Terry Burns
Analysis Of Antibody Drug Conjugate On Cellular Senescent Human Glioblastoma, Ariel P. Walker, Renee Hirte, Cecile Riviere-Cazaux, Authur Warrington, Terry Burns
Medical Student Research Symposium
Background: Glioblastoma Multiforme (GBM) is an aggressive and malignant brain tumor known for its rapid progression and unfavorable prognosis. The standard treatment options primarily involve radiation and temozolomide, however recurrence is inevitable.
B7H3/CD276, an immunomodulatory transmembrane glycoprotein, demonstrates tumor-specific expression, with limited presence in normal healthy tissue, making it a promising and attractive treatment target in GBM. AbbV155 is an antibody drug conjugate that inhibits BCL-XL and specifically targets B7H3 (CD276) on GBM cells with the goal of selectively eliminating viable tumor cells.
Objectives: First, we sought to confirm the presence of B7H3/CD276 in our selected cell line via …
Seizure Prediction In Epilepsy Patients, Gary Dean Cravens
Seizure Prediction In Epilepsy Patients, Gary Dean Cravens
NSU REACH and IPE Day
Purpose/Objective: Characterize rigorously the preictal period in epilepsy patients to improve the development of seizure prediction techniques. Background/Rationale: 30% of epilepsy patients are not well-controlled on medications and would benefit immensely from reliable seizure prediction. Methods/Methodology: Computational model consisting of in-silico Hodgkin-Huxley neurons arranged in a small-world topology using the Watts-Strogatz algorithm is used to generate synthetic electrocorticographic (ECoG) signals. ECoG data from 18 epilepsy patients is used to validate the model. Unsupervised machine learning is used with both patient and synthetic data to identify potential electrophysiologic biomarkers of the preictal period. Results/Findings: The model has shown states corresponding to …
Fall Prevention In A Neurosurgery Clinic, Beth Ann Bremer, Brenda Senger, Jonathan Dennis Carlson, Teresa Bigand, Deborah Smith
Fall Prevention In A Neurosurgery Clinic, Beth Ann Bremer, Brenda Senger, Jonathan Dennis Carlson, Teresa Bigand, Deborah Smith
Articles, Abstracts, and Reports
No abstract provided.